Statistics Papers @StatsPapers
New Statistics submissions to https://t.co/HHqPequzVU (not affiliated with https://t.co/HHqPequzVU) arxiv.org/archive/stat Worldwide Joined April 2010-
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Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability. arxiv.org/abs/2509.22529
CausalKANs: interpretable treatment effect estimation with Kolmogorov-Arnold networks. arxiv.org/abs/2509.22467
Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs). arxiv.org/abs/2509.22459
Multidimensional Uncertainty Quantification via Optimal Transport. arxiv.org/abs/2509.22380
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression. arxiv.org/abs/2509.22341
Incorporating priors in learning: a random matrix study under a teacher-student framework. arxiv.org/abs/2509.22124
A Random Matrix Perspective of Echo State Networks: From Precise Bias--Variance Characterization to Optimal Regularization. arxiv.org/abs/2509.22011
A Nonparametric Discrete Hawkes Model with a Collapsed Gaussian-Process Prior. arxiv.org/abs/2509.21996
Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation. arxiv.org/abs/2509.21866
Multi-modal Bayesian Neural Network Surrogates with Conjugate Last-Layer Estimation. arxiv.org/abs/2509.21711
SADA: Safe and Adaptive Inference with Multiple Black-Box Predictions. arxiv.org/abs/2509.21707
Effective continuous equations for adaptive SGD: a stochastic analysis view. arxiv.org/abs/2509.21614
IndiSeek learns information-guided disentangled representations. arxiv.org/abs/2509.21584
General Pruning Criteria for Fast SBL. arxiv.org/abs/2509.21572
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models. arxiv.org/abs/2509.21423
Scaling Laws are Redundancy Laws. arxiv.org/abs/2509.20721
Bispectral OT: Dataset Comparison using Symmetry-Aware Optimal Transport. arxiv.org/abs/2509.20678
Incorporating External Controls for Estimating the Average Treatment Effect on the Treated with High-Dimensional Data: Retaining Double Robustness and Ensuring Double Safety. arxiv.org/abs/2509.20586
The Sensitivity of Variational Bayesian Neural Network Performance to Hyperparameters. arxiv.org/abs/2509.20574
Response to Promises and Pitfalls of Deep Kernel Learning. arxiv.org/abs/2509.21228
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